September 2024
Intermediate to advanced
338 pages
9h 21m
Spanish
Content preview from Python para Excel
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Capítulo 8. Manipulación de archivos Excel conlos paquetes Readery Writer
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Este capítulo te presenta OpenPyXL, XlsxWriter, pyxlsb, xlrd y xlwt: son los paquetes que pueden leer y escribir archivos de Excel y que pandas utiliza bajo el capó cuando llamas a las funciones read_excel o to_excel. Utilizar directamente los paquetes de lectura y escritura te permite crear informes de Excel más complejos, así como afinar el proceso de lectura. Además, si alguna vez trabajas en un proyecto en el que sólo necesitas leer y escribir archivos de Excel sin necesidad del resto de la funcionalidad de pandas, instalar la pila completa NumPy/pandas probablemente sería una exageración. Empezaremos este capítulo aprendiendo cuándo utilizar cada paquete y cómo funciona su sintaxis, antes de ver algunos temas avanzados, como la forma de trabajar con archivos Excel grandes y cómo combinar pandas con los paquetes lector y escritor para mejorar el estilo de los DataFrames. Para terminar, retomaremos el caso práctico del principio del último capítulo y mejoraremos el informe de Excel formateando la tabla y añadiendo un gráfico. Al igual que el capítulo anterior, este capítulo no requiere una instalación de Excel, lo que significa que todos los ejemplos de código funcionan en Windows, macOS y Linux.
Paquetes Lector y Escritor
El panorama para el lector y el escritor puede ser un poco abrumador: ...
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